Abstract

We have designed and implemented an automated, just-in-time seizure control scheme using a seizure prediction method coupled with deep brain stimulation in the centromedial thalamic nuclei of epileptic rats. The scheme was tested in terms of its efficacy to control seizures, as well as its effect on synchronization of brain dynamics. The proposed technique of just-in-time stimulation resulted to a significant (>50%) reduction of seizure frequency as compared to a baseline period with no stimulation. Importantly, we show that successful seizure control was highly correlated with desynchronization of brain dynamics. This study provides initial evidence for the efficacy of closed-loop feedback control systems in epileptic seizures combining methods from seizure prediction and deep brain stimulation.

title = "Closed-loop control of epileptic seizures via deep brain stimulation in a rodent model of chronic epilepsy",

abstract = "We have designed and implemented an automated, just-in-time seizure control scheme using a seizure prediction method coupled with deep brain stimulation in the centromedial thalamic nuclei of epileptic rats. The scheme was tested in terms of its efficacy to control seizures, as well as its effect on synchronization of brain dynamics. The proposed technique of just-in-time stimulation resulted to a significant (>50%) reduction of seizure frequency as compared to a baseline period with no stimulation. Importantly, we show that successful seizure control was highly correlated with desynchronization of brain dynamics. This study provides initial evidence for the efficacy of closed-loop feedback control systems in epileptic seizures combining methods from seizure prediction and deep brain stimulation.",

N2 - We have designed and implemented an automated, just-in-time seizure control scheme using a seizure prediction method coupled with deep brain stimulation in the centromedial thalamic nuclei of epileptic rats. The scheme was tested in terms of its efficacy to control seizures, as well as its effect on synchronization of brain dynamics. The proposed technique of just-in-time stimulation resulted to a significant (>50%) reduction of seizure frequency as compared to a baseline period with no stimulation. Importantly, we show that successful seizure control was highly correlated with desynchronization of brain dynamics. This study provides initial evidence for the efficacy of closed-loop feedback control systems in epileptic seizures combining methods from seizure prediction and deep brain stimulation.

AB - We have designed and implemented an automated, just-in-time seizure control scheme using a seizure prediction method coupled with deep brain stimulation in the centromedial thalamic nuclei of epileptic rats. The scheme was tested in terms of its efficacy to control seizures, as well as its effect on synchronization of brain dynamics. The proposed technique of just-in-time stimulation resulted to a significant (>50%) reduction of seizure frequency as compared to a baseline period with no stimulation. Importantly, we show that successful seizure control was highly correlated with desynchronization of brain dynamics. This study provides initial evidence for the efficacy of closed-loop feedback control systems in epileptic seizures combining methods from seizure prediction and deep brain stimulation.